matlab-based open-source software Search Results


90
Broad Institute Inc cellprofiler 54
Cellprofiler 54, supplied by Broad Institute Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/matlab-based+open-source+software/cellprofiler/10__1039_slash_c2lc40531h-187-12-19
Average 90 stars, based on 1 article reviews
cellprofiler 54 - by Bioz Stars, 2026-10
90/100 stars
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96
MathWorks Inc open source matlab based toolbox
Open Source Matlab Based Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/matlab-based+open-source+software/Database+Toolbox/pmc12260024-68-14-15
Average 96 stars, based on 1 article reviews
open source matlab based toolbox - by Bioz Stars, 2026-10
96/100 stars
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90
GitHub Inc ncorr v.1.2
Ncorr V.1.2, supplied by GitHub Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/matlab-based+open-source+software/ncorr+v+1+2/pmc08950511-132-9-11
Average 90 stars, based on 1 article reviews
ncorr v.1.2 - by Bioz Stars, 2026-10
90/100 stars
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95
Glencoe Software Inc omero
Omero, supplied by Glencoe Software Inc, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/matlab-based+open-source+software/OMERO/custom%40omero_1%4028190060
Average 95 stars, based on 1 article reviews
omero - by Bioz Stars, 2026-10
95/100 stars
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96
MathWorks Inc open source matlab compiler
Open Source Matlab Compiler, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/matlab-based+open-source+software/MATLAB+Compiler/pm37050868-46-3-4
Average 96 stars, based on 1 article reviews
open source matlab compiler - by Bioz Stars, 2026-10
96/100 stars
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90
GitHub Inc matlabbased software program ncorr v.1.2
Matlabbased Software Program Ncorr V.1.2, supplied by GitHub Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/matlab-based+open-source+software/matlabbased+software+program+ncorr+v+1+2/pm37047227-240-10-12
Average 90 stars, based on 1 article reviews
matlabbased software program ncorr v.1.2 - by Bioz Stars, 2026-10
90/100 stars
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99
Oxford Instruments open source software
Open Source Software, supplied by Oxford Instruments, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/matlab-based+open-source+software/Imaris/pmc06862138-203-55-57
Average 99 stars, based on 1 article reviews
open source software - by Bioz Stars, 2026-10
99/100 stars
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90
InfoMax Inc infomax ica
Basic concepts of group analyses using temporal concatenation and multilevel decomposition in combination with <t>ICA</t> <t>or</t> <t>SOBI</t> . For temporal concatenation, data aggregation yields a horizontally elongated matrix on which the demixing matrix W can be estimated, assuming the same mixing process for all subjects. This, however, is not the case with multilevel decomposition since single-subject as well as group-level decomposition prior to ICA/SOBI not only reduce the number of variables, but also allow for some variability of the latent structure across subjects. Note that usually only a subset of the c*n vertically concatenated components (c = number of channels/components, n = number of subjects) enter final decomposition via ICA or SOBI.
Infomax Ica, supplied by InfoMax Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/matlab-based+open-source+software/infomax+ica/pmc04518160-164-6-6
Average 90 stars, based on 1 article reviews
infomax ica - by Bioz Stars, 2026-10
90/100 stars
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96
MathWorks Inc open source toolbox
Basic concepts of group analyses using temporal concatenation and multilevel decomposition in combination with <t>ICA</t> <t>or</t> <t>SOBI</t> . For temporal concatenation, data aggregation yields a horizontally elongated matrix on which the demixing matrix W can be estimated, assuming the same mixing process for all subjects. This, however, is not the case with multilevel decomposition since single-subject as well as group-level decomposition prior to ICA/SOBI not only reduce the number of variables, but also allow for some variability of the latent structure across subjects. Note that usually only a subset of the c*n vertically concatenated components (c = number of channels/components, n = number of subjects) enter final decomposition via ICA or SOBI.
Open Source Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/matlab-based+open-source+software/Control+System+Toolbox/10__1260_slash_1756___8293__7__2__89-50-13-20
Average 96 stars, based on 1 article reviews
open source toolbox - by Bioz Stars, 2026-10
96/100 stars
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90
SourceForge net in-house open-source software bmi_ct
Basic concepts of group analyses using temporal concatenation and multilevel decomposition in combination with <t>ICA</t> <t>or</t> <t>SOBI</t> . For temporal concatenation, data aggregation yields a horizontally elongated matrix on which the demixing matrix W can be estimated, assuming the same mixing process for all subjects. This, however, is not the case with multilevel decomposition since single-subject as well as group-level decomposition prior to ICA/SOBI not only reduce the number of variables, but also allow for some variability of the latent structure across subjects. Note that usually only a subset of the c*n vertically concatenated components (c = number of channels/components, n = number of subjects) enter final decomposition via ICA or SOBI.
In House Open Source Software Bmi Ct, supplied by SourceForge net, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/matlab-based+open-source+software/open+source+software+bmi+ct/pmc08978026-110-12-18
Average 90 stars, based on 1 article reviews
in-house open-source software bmi_ct - by Bioz Stars, 2026-10
90/100 stars
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90
SourceForge net bmi_ct version 1.0
Basic concepts of group analyses using temporal concatenation and multilevel decomposition in combination with <t>ICA</t> <t>or</t> <t>SOBI</t> . For temporal concatenation, data aggregation yields a horizontally elongated matrix on which the demixing matrix W can be estimated, assuming the same mixing process for all subjects. This, however, is not the case with multilevel decomposition since single-subject as well as group-level decomposition prior to ICA/SOBI not only reduce the number of variables, but also allow for some variability of the latent structure across subjects. Note that usually only a subset of the c*n vertically concatenated components (c = number of channels/components, n = number of subjects) enter final decomposition via ICA or SOBI.
Bmi Ct Version 1.0, supplied by SourceForge net, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/matlab-based+open-source+software/bmi+ct/pmc11366243-92-13-21
Average 90 stars, based on 1 article reviews
bmi_ct version 1.0 - by Bioz Stars, 2026-10
90/100 stars
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90
COMSOL Inc comsol multiphysics
Footprints and activation thresholds are evaluated using the FEniCS solver (orange line) and COMSOL <t>Multiphysics</t> (dashed blue line) with a LIFE ((a) and (c)) and a cuff-like electrode ((b) and (d)). The relative difference in electrode footprint estimation is plotted in a red dotted line. The nerve and the fascicle are 1000 μm and 800 μm in diameter respectively. The fascicle is surrounded by a 25 μm thick layer of perineurium, which corresponds to about 3% of the fascicle diameter . The nerve is plunged in a 10 mm large saline bath (not represented). The fascicle is made of anisotropic bulk endoneurium ( σ x = 0.57 S / m , σ y = 0.085 S / m ) and epineurium ( σ = 0.085 S / m ). Perineurium and saline conductivity are set to σ = 0.002/ m and σ = 2 S / m respectively [ , ].
Comsol Multiphysics, supplied by COMSOL Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/matlab-based+open-source+software/comsol+multiphysics/pmc11268605-108-20-22
Average 90 stars, based on 1 article reviews
comsol multiphysics - by Bioz Stars, 2026-10
90/100 stars
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Image Search Results


Basic concepts of group analyses using temporal concatenation and multilevel decomposition in combination with ICA or SOBI . For temporal concatenation, data aggregation yields a horizontally elongated matrix on which the demixing matrix W can be estimated, assuming the same mixing process for all subjects. This, however, is not the case with multilevel decomposition since single-subject as well as group-level decomposition prior to ICA/SOBI not only reduce the number of variables, but also allow for some variability of the latent structure across subjects. Note that usually only a subset of the c*n vertically concatenated components (c = number of channels/components, n = number of subjects) enter final decomposition via ICA or SOBI.

Journal: Frontiers in Neuroscience

Article Title: Group-level component analyses of EEG: validation and evaluation

doi: 10.3389/fnins.2015.00254

Figure Lengend Snippet: Basic concepts of group analyses using temporal concatenation and multilevel decomposition in combination with ICA or SOBI . For temporal concatenation, data aggregation yields a horizontally elongated matrix on which the demixing matrix W can be estimated, assuming the same mixing process for all subjects. This, however, is not the case with multilevel decomposition since single-subject as well as group-level decomposition prior to ICA/SOBI not only reduce the number of variables, but also allow for some variability of the latent structure across subjects. Note that usually only a subset of the c*n vertically concatenated components (c = number of channels/components, n = number of subjects) enter final decomposition via ICA or SOBI.

Article Snippet: Notable exceptions are the implementation of Infomax ICA, SOBI, as well as functions for data filtering and plotting of EEG topographies; for these tasks, routines of the MATLAB-based open source software package EEGLAB were used (Delorme and Makeig, ).

Techniques:

Footprints and activation thresholds are evaluated using the FEniCS solver (orange line) and COMSOL Multiphysics (dashed blue line) with a LIFE ((a) and (c)) and a cuff-like electrode ((b) and (d)). The relative difference in electrode footprint estimation is plotted in a red dotted line. The nerve and the fascicle are 1000 μm and 800 μm in diameter respectively. The fascicle is surrounded by a 25 μm thick layer of perineurium, which corresponds to about 3% of the fascicle diameter . The nerve is plunged in a 10 mm large saline bath (not represented). The fascicle is made of anisotropic bulk endoneurium ( σ x = 0.57 S / m , σ y = 0.085 S / m ) and epineurium ( σ = 0.085 S / m ). Perineurium and saline conductivity are set to σ = 0.002/ m and σ = 2 S / m respectively [ , ].

Journal: PLOS Computational Biology

Article Title: NRV: An open framework for in silico evaluation of peripheral nerve electrical stimulation strategies

doi: 10.1371/journal.pcbi.1011826

Figure Lengend Snippet: Footprints and activation thresholds are evaluated using the FEniCS solver (orange line) and COMSOL Multiphysics (dashed blue line) with a LIFE ((a) and (c)) and a cuff-like electrode ((b) and (d)). The relative difference in electrode footprint estimation is plotted in a red dotted line. The nerve and the fascicle are 1000 μm and 800 μm in diameter respectively. The fascicle is surrounded by a 25 μm thick layer of perineurium, which corresponds to about 3% of the fascicle diameter . The nerve is plunged in a 10 mm large saline bath (not represented). The fascicle is made of anisotropic bulk endoneurium ( σ x = 0.57 S / m , σ y = 0.085 S / m ) and epineurium ( σ = 0.085 S / m ). Perineurium and saline conductivity are set to σ = 0.002/ m and σ = 2 S / m respectively [ , ].

Article Snippet: ASCENT and ViNERS are open-source but require closed-source and commercially licensed software to run: ViNERS is based on MATLAB, and ASCENT requires COMSOL Multiphysics to run.

Techniques: Activation Assay, Saline